For full functionality of this site it is necessary to enable JavaScript. Here are the instructions how to enable JavaScript in your web browser.
The 23rd May 2019 at 12:45, Sala d’Actes de la Facultat de Ciències de la UAB, I will present my work on “Implementing one-shot multiple-FID acquisition into homonuclear and heteronuclear NMR experiments” at the Novena Edició de les Jornades Doctorals by the PhD Chemistry Program and the Chemistry Department (Meeting program).
This job offer has expired
Official call by Universitat Autònoma de Barcelona
Deadline for submissions: 21/5/2019 at 23:00
See UAB and/or Euraxess advertisements for further information about the position and how to apply.
We seek a highly motivated and qualified individual as Early Stage Researcher for a three-year applied research project. The successful candidate will contribute to the development of advanced biomedical research tools in the field of Magnetic Resonance Spectroscopy and Imaging, and its application to the clinical day-to-day practice.
Project description: This position is one of the 15 ESR positions of the INSPiRE-MED European Training Network, which focuses on the development of Magnetic Resonance Spectroscopy (MRS) and MR Spectroscopic Imaging (MRSI) combined with Positron Emission Tomography (PET), enhanced by machine learning techniques.
The main aim of the PhD project (ESR4) will be the implementation of innovative high spatial resolution MRSI methods in a pre-clinical scanner. The ultimate goal will be the validation of optimal methods for improving imaging biomarker development of brain tumour in longitudinal studies of therapy response in mouse glioblastoma models. The project will involve evaluation of the methodology performance limits, repeatability and reproducibility compared to stock Bruker Biospec MRSI sequences and the assessment of speed-up MRSI methods in a 7-Tesla pre-clinical scanner.
Continue reading Job offer for the INSPiRE-MED project
We seek a highly motivated and qualified individual as Early Stage Researcher for a three-year applied research project. The successful candidate will contribute to the development of advanced biomedical research tools in the field of Magnetic Resonance Spectroscopy and Imaging, and its application to the clinical day-to-day practice.
Project description: This position is one of the 15 ESR positions of the INSPiRE-MED European Training Network, which focuses on the development of Magnetic Resonance Spectroscopy (MRS) and MR Spectroscopic Imaging (MRSI) combined with Positron Emission Tomography (PET), enhanced by machine learning techniques.
The main aim of the PhD project (ESR12) will be development of a Machine Learning medical decision-support system based on MRSI data at 3T, for glioblastoma therapy response follow-up.
The ESR will develop a novel medical decision support system (MDSS) focused on glioblastoma therapy response follow-up, based on magnetic resonance spectroscopic imaging (MRSI) data, able to take and process data from multiple MRSI formats and centres. For each patient’s MRSI, the MDSS should deliver a nosological or classification image, ready to be fused with images of other MR modalities from the same patient. The DSS will be integrated into the interface of the academic version of jMRUI, in a way that allows clinicians evaluate the system with their data. An important part of of the project will be the incorporation of automated MRSI artifact detection and removal tools.
Continue reading Job offer at CIBER for the INSPiRE-MED project
L’article ha estat publicat a la plana web de la UAB-Divulga i s’hi explica la nostra recerca més recent.
Nolis, Pau & Teodor Parella. 2019. Practical aspects of the simultaneous collection of COSY and TOCSY spectra. Magnetic Resonance in Chemistry. DOI: 10.1002/mrc.4835
The practical aspects of some NMR experiments designed for the simultaneous acquisition of 2D COSY and 2D TOCSY spectra are presented and discussed. Several techniques involving afterglow‐based, CTP‐based and NOAH‐based strategies for the collection of different FIDs within the same scan are evaluated and compared. These methods offer a faster recording of these spectra in small‐molecule NMR when sensitivity is not a limiting factor, with a reduction in spectrometer time about 45%‐60% when compared to the conventional sequential acquisition of the parent experiments. It is also shown how the optimized design of an extended three‐FID approach yields one COSY and two TOCSY spectra simultaneously by combining CTP and NOAH principles in the same experiment, affording substantial sensitivity enhancements per time unit.
Nolis, Pau, Kumar Motiram-Corral, Míriam Pérez-Trujillo & Teodor Parella. 2019. Simultaneous acquisition of two 2D HSQC spectra with different 13C spectral widths. Journal of Magnetic Resonance. DOI: 10.1016/j.jmr.2019.01.004
ABSTRACT: A time-efficient NMR strategy that involves the interleaved acquisition of two 2D HSQC spectra having different spectral widths in the indirect 13C dimension is presented. We show how the two equivalent coherence transfer pathways involved in sensitivity-enhanced HSQC experiments are managed selectively and detected separately in different FID periods within the same scan. The feasibility of this new SADA-HSQC (Spectral Aliasing in Dually Acquired HSQC) technique is demonstrated by recording simultaneously two complementary datasets, conventional and highly-resolved spectral-aliased 2D HSQC spectra, in a single NMR experiment. Combining the information from both datasets, accurate chemical shift determination and excellent signal dispersion is achieved in a unique measurement using only few t1 increments.
Simões, Rui V., Miquel E. Cabañas, Carla Loreiro, Miriam Illa, Fatima Crispi & Eduard Gratacós. 2018. Assessment of prenatal cerebral and cardiac metabolic changes in a rabbit model of fetal growth restriction based on 13C-labelled substrate infusions and ex vivo multinuclear HRMAS. PLOS ONE 13(12). e0208784. DOI: 10.1371/journal.pone.0208784
Background: We have used a previously reported rabbit model of fetal growth restriction (FGR), reproducing perinatal neurodevelopmental and cardiovascular impairments, to investigate the main relative changes in cerebral and cardiac metabolism of term FGR fetuses during nutrient infusion.
Methods: FGR was induced in 9 pregnant New Zealand rabbits at 25 days of gestation: one horn used as FGR, by partial ligation of uteroplacental vessels, and the contralateral as control (appropriate for gestation age, AGA). At 30 days of gestation, fasted mothers under anesthesia were infused i.v. with 1-13C-glucose (4 mothers), 2-13C-acetate (3 mothers), or not infused (2 mothers). Fetal brain and heart samples were quickly harvested and frozen down. Brain cortex and heart apex regions from 30 fetuses were studied ex vivo by HRMAS at 4°C, acquiring multinuclear 1D and 2D spectra. The data were processed, quantified by peak deconvolution or integration, and normalized to sample weight.
Continue reading Prenatal cerebral and cardiac metabolic changes in a rabbit model of fetal growth restrictionJob offer now closed and replaced by this job offer.
We seek a highly motivated and qualified individual as Early Stage Researcher for a three-year applied research project. The successful candidate will contribute to the development of advanced biomedical research tools in the field of Magnetic Resonance Spectroscopy and Imaging, and its application to the clinical day-to-day practice.
Project description: This position is one of the 15 ESR positions of the INSPiRE-MED European Training Network, which focuses on the development of Magnetic Resonance Spectroscopy (MRS) and MR Spectroscopic Imaging (MRSI) combined with Positron Emission Tomography (PET), enhanced by machine learning techniques.
The main aim of the PhD project (ESR4) will be the implementation of innovative high spatial resolution MRSI methods in a pre-clinical scanner. The ultimate goal will be the validation of optimal methods for improving imaging biomarker development of brain tumour in longitudinal studies of therapy response in mouse glioblastoma models. The project will involve evaluation of the methodology performance limits, repeatability and reproducibility compared to stock Bruker Biospec MRSI sequences and the assessment of speed-up MRSI methods in a 7-Tesla pre-clinical scanner.
Continue reading Job offer for the INSPiRE-MED projectIntegrating Magnetic Resonance Spectroscopy and Multimodal Imaging for Research and Education in MEDicine (INSPiRE-MED) is an European research project awarded in the call H2020-MSCA-ITN-2018, of the MSCA-ITN-ETN – European Training Networks, to a consortium of partners including the GABRMN and SeRMN at UAB. The project is coordinated by Prof. Dominique Sappey-Marinier, of the Université Lyon-1 Claude-Bernard, Lyon, France. The scientist-in-charge at UAB will be Prof. Carles Arús (GABRMN), and Silvia Lope-Piedrafita (SeRMN) and Miquel Cabañas (SeRMN) will participate as senior scientists in the project.
Starting 1st of January 2019, the INSPiRE-MED Initial Training Network will investigate the theoretical and practical aspects of in vivo Magnetic Resonance Spectroscopy (MRS) and Spectroscopic Imaging (MRSI) with applications in oncology and neurology.
The network will host 15 Early Stage Researchers in the field of biomedical imaging, particularly in the field of Magnetic Resonance Spectroscopy (MRS) and MR Spectroscopic Imaging (MRSI) combined with Positron Emission Tomography (PET) and enhanced by machine learning techniques. The research training is supervised by a consortium of 12 academic partners with an established collaborative track record in R&D and 9 industrial partners from the broad and competitive preclinical and clinical imaging sector.
The main research topic to be carried at UAB —in close collaboration with other project members— will be the implementation of innovative high spatial resolution MRSI methods in a pre-clinical scanner. The ultimate goal will be the validation of optimal methods for improving imaging biomarker development of brain tumour in longitudinal studies of therapy response in mouse glioblastoma models.
